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Air Dispersion Modeling Challenges and Advancements in Guidance over the Past Decade (2010–2020)

机译:过去十年中,空中散发建模挑战和进步(2010-2020)

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Over the past decade, the promulgation of new more stringent ambient standards has led to a different thought process on previous conservative modeling assumptions and approaches. For example, we can no longer: 1. Assume 100% conversion of NO_X to NO_2. Consideration needs to be given to the right approach for modeling NO_2 for each application. That could be simply using ARM2 or could extend to the use of PVMRM or OLM with refined in-stack NO_2/NO_X ratios and consideration of near-field ozone reaction rates. 2. Assume that the ambient background is a fixed value. When assessing NAAQS compliance, consideration must be given to variability in ambient background relative to season and hour of day. 3. Assume the use of permit allowable emission rates for all sources in a model application is appropriate. Consideration must be given to the actual operating level of nearby sources (including its intermittent nature) to provide a more realistic estimate of emissions for modeling. Consideration must also be given to the impact nearby sources have on the ambient background used for the NAAQS demonstrations to avoid double counting. In some cases, the monitored background already includes the impacts of nearby sources. Progress has been encouraging, and we need to continue to promote innovation in assumptions and techniques.
机译:在过去十年中,新的更严格的环境标准的颁布导致了对先前保守建模假设和方法的不同思路。例如,我们不能再上:1。假设100%的NO_X转换为NO_2。需要考虑为每个应用程序建模NO_2的正确方法。这可以简单地使用ARM2,或者可以扩展到PVMRM或OLM与精制的堆叠NO_2 / NO_2 / NO_X比率以及考虑近场臭氧反应速率。 2.假设环境背景是固定值。在评估NAAQS合规性时,必须考虑相对于季节和一小时的环境背景中的变异性。 3.假设模型应用中所有来源的许可允许排放率的使用是合适的。必须考虑到附近来源的实际运营水平(包括其间歇性质),以提供更现实的估计对建模的排放。还必须考虑到附近来源对NAAQS演示的环境背景的影响,以避免双重计数。在某些情况下,受监控的背景已经包括附近来源的影响。进展一直在鼓励,我们需要继续促进假设和技术的创新。

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